Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. About This Book ? Leverage the Jupyter Notebook for interactive data science and visualization ? Become an expert in high-performance computing and visualization for data analysis and scientific modeling ? A comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations Who This Book Is For This book is intended for anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, and hobbyists. A basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods. What You Will Learn ? Master all features of the Jupyter Notebook ? Code better: write high-quality, readable, and well-tested programs; profile and optimize your code; and conduct reproducible interactive computing experiments ? Visualize data and create interactive plots in the Jupyter Notebook ? Write blazingly fast Python programs with NumPy, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA), parallel IPython, Dask, and more ? Analyze data with Bayesian or frequentist statistics (Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn) ? Gain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV ? Simulate deterministic and stochastic dynamical systems in Python ? Familiarize yourself with math in Python using SymPy and Sage: algebra, analysis, logic, graphs, geometry, and probability theory In Detail Python is one of the leading open source platforms for data science and numerical computing. IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform. IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning. The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics. Style and approach IPython Interactive Computing and Visualization Cookbook, Second Edition is a practical, hands-on book that will teach you how to analyze and visualize all kinds of data in the Jupyter Notebook.

A comprehensive, easy-to-follow guide to creating complete Node apps and understanding how to build, deploy, and test your own apps. About This Book ? Entirely project-based and practical ? Explains the "Why" of Node.js features, not just the "how", providing you with a deep understanding and enabling you to easily apply concepts in your own applications ? Covers the full range of technologies around Node.js – NPM, version control with Git, and much more Who This Book Is For This book targets anyone looking to launch their own Node applications, switch careers, or freelance as a Node developer. You should have a basic understanding of JavaScript in order to follow this course. What You Will Learn ? Learn the fundamentals of Node ? Build apps that respond to user input ? Master working with servers ? Learn how to test and debug applications ? Deploy and update your apps in the real world ? Create responsive asynchronous web applications In Detail Learning Node.js Development is a practical, project-based book that provides you with all you need to get started as a Node.js developer. Node is a ubiquitous technology on the modern web, and an essential part of any web developers' toolkit. If you are looking to create real-world Node applications, or you want to switch careers or launch a side project to generate some extra income, then you're in the right place. This book has been written around a single goal—turning you into a professional Node developer capable of developing, testing, and deploying real-world production applications. Learning Node.js Development is built from the ground up around the latest version of Node.js (version 9.x.x). You'll be learning all the cutting-edge features available only in the latest software versions. This book cuts through the mass of information available around Node and delivers the essential skills that you need to become a Node developer. It takes you through creating complete apps and understanding how to build, deploy, and test your own Node apps. It maps out everything in a comprehensive, easy-to-follow package designed to get you up and running quickly. Style and approach This book is entirely project-based. From the very beginning you'll be programming every single app and completing various challenges designed to help test and reinforce what you've learned. There's no copying-and-pasting here. This book is about writing code and building projects.

Learn to apply cloud-native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidence About This Book ? Understand the architectural patterns involved in cloud-native architectures ? Minimize risk by evolving your monolithic applications into distributed cloud-native systems ? Discover best practices for applying cloud-native patterns to your enterprise-level cloud applications Who This Book Is For This book is for developers who would like to progress into building cloud-native systems and are keen to learn the patterns involved. Basic knowledge of programming and cloud computing is required. What You Will Learn ? Enable massive scaling by turning your database inside out ? Unleash flexibility via event streaming ? Leverage polyglot persistence and cloud-native databases ? Embrace modern continuous delivery and testing techniques ? Minimize risk by evolving your monoliths to cloud-native ? Apply cloud-native patterns and solve major architectural problems in cloud environment In Detail Build systems that leverage the benefits of the cloud and applications faster than ever before with cloud-native development. This book focuses on architectural patterns for building highly scalable cloud-native systems. You will learn how the combination of cloud, reactive principles, devops, and automation enable teams to continuously deliver innovation with confidence. Begin by learning the core concepts that make these systems unique. You will explore foundational patterns that turn your database inside out to achieve massive scalability with cloud-native databases. You will also learn how to continuously deliver production code with confidence by shifting deployment and testing all the way to the left and implementing continuous observability in production. There's more—you will also learn how to strangle your monolith and design an evolving cloud-native system. By the end of the book, you will have the ability to create modern cloud-native systems. Style and approach This book follows a pragmatic approach to understand cloud-native design patterns and explains the functioning and design considerations to build modern cloud-native systems in depth.

Maximize your administration skills effectively and efficiently About This Book ? Implement cost-effective virtualization solutions for your organization with actionable recipes ? Explore the concepts of VMM with real-world use cases ? Use the latest features with VMM 2016 such as Cluster OS Rolling Upgrade, Guarded Fabric and Storage Spaces Direct Who This Book Is For If you are a solutions architect, technical consultant, administrator, or any other virtualization enthusiast who needs to use Microsoft System Center Virtual Machine Manager in a real-world environment, then this is the book for you. What You Will Learn ? Plan and design a VMM architecture for real-world deployment ? Configure fabric resources, including compute, networking, and storage ? Create and manage Storage Spaces Direct clusters in VMM ? Configure Guarded Fabric with Shielded VMs ? Create and deploy virtual machine templates and multi-tier services ? Manage Hyper-V and VMware environments from VMM ? Enhance monitoring and management capabilities ? Upgrade to VMM 2016 from previous versions In Detail Virtual Machine Manager (VMM) 2016 is part of the System Center suite to configure and manage datacenters and offers a unified management experience on-premises and Azure cloud. This book will be your best companion for day-to-day virtualization needs within your organization, as it takes you through a series of recipes to simplify and plan a highly scalable and available virtual infrastructure. You will learn the deployment tips, techniques, and solutions designed to show users how to improve VMM 2016 in a real-world scenario. The chapters are divided in a way that will allow you to implement the VMM 2016 and additional solutions required to effectively manage and monitor your fabrics and clouds. We will cover the most important new features in VMM 2016 across networking, storage, and compute, including brand new Guarded Fabric, Shielded VMs and Storage Spaces Direct. The recipes in the book provide step-by-step instructions giving you the simplest way to dive into VMM fabric concepts, private cloud, and integration with external solutions such as VMware, Operations Manager, and the Windows Azure Pack. By the end of this book, you will be armed with the knowledge you require to start designing and implementing virtual infrastructures in VMM 2016. Style and approach This book follows a recipe-based approach similar to our previous two successful editions, covering the practical application of the major features in VMM 2016.

Over 100 recipes for penetration testing using Metasploit and virtual machines About This Book ? Special focus on the latest operating systems, exploits, and penetration testing techniques ? Learn new anti-virus evasion techniques and use Metasploit to evade countermeasures ? Automate post exploitation with AutoRunScript ? Exploit Android devices, record audio and video, send and read SMS, read call logs, and much more ? Build and analyze Metasploit modules in Ruby ? Integrate Metasploit with other penetration testing tools Who This Book Is For If you are a Security professional or pentester and want to get into vulnerability exploitation and make the most of the Metasploit framework, then this book is for you. Some prior understanding of penetration testing and Metasploit is required. What You Will Learn ? Set up a complete penetration testing environment using Metasploit and virtual machines ? Master the world's leading penetration testing tool and use it in professional penetration testing ? Make the most of Metasploit with PostgreSQL, importing scan results, using workspaces, hosts, loot, notes, services, vulnerabilities, and exploit results ? Use Metasploit with the Penetration Testing Execution Standard methodology ? Use MSFvenom efficiently to generate payloads and backdoor files, and create shellcode ? Leverage Metasploit's advanced options, upgrade sessions, use proxies, use Meterpreter sleep control, and change timeouts to be stealthy In Detail Metasploit is the world's leading penetration testing tool and helps security and IT professionals find, exploit, and validate vulnerabilities. Metasploit allows penetration testing automation, password auditing, web application scanning, social engineering, post exploitation, evidence collection, and reporting. Metasploit's integration with InsightVM (or Nexpose), Nessus, OpenVas, and other vulnerability scanners provides a validation solution that simplifies vulnerability prioritization and remediation reporting. Teams can collaborate in Metasploit and present their findings in consolidated reports. In this book, you will go through great recipes that will allow you to start using Metasploit effectively. With an ever increasing level of complexity, and covering everything from the fundamentals to more advanced features in Metasploit, this book is not just for beginners but also for professionals keen to master this awesome tool. You will begin by building your lab environment, setting up Metasploit, and learning how to perform intelligence gathering, threat modeling, vulnerability analysis, exploitation, and post exploitation—all inside Metasploit. You will learn how to create and customize payloads to evade anti-virus software and bypass an organization's defenses, exploit server vulnerabilities, attack client systems, compromise mobile phones, automate post exploitation, install backdoors, run keyloggers, highjack webcams, port public exploits to the framework, create your own modules, and much more. Style and approach This book follows a cookbook style with recipes explaining penetration testing steps with Metasploit. Plenty plethora of code and commands are used to make your learning curve easy and quick.

Data management and analytics simplified with Teradata About This Book ? Take your understanding of Teradata to the next level and build efficient data warehousing applications for your organization ? Covers recipes on data handling, warehousing, advanced querying and the administrative tasks in Teradata. ? Contains practical solutions to tackle common (and not-so-common) problems you might encounter in your day to day activities Who This Book Is For This book is for Database administrator's and Teradata users who are looking for a practical, one-stop resource to solve all their problems while handling their Teradata solution. If you are looking to learn the basic as well as the advanced tasks involved in Teradata querying or administration, this book will be handy. Some knowledge of relational database concepts will be helpful to get the best out of this book. What You Will Learn ? Understand Teradata's competitive advantage over other RDBMSs. ? Use SQL to process data stored in Teradata tables. ? Leverage Teradata’s available application utilities and parallelism to play with large datasets ? Apply various performance tuning techniques to optimize the queries. ? Acquire deeper knowledge and understanding of the Teradata Architecture. ? Easy steps to load, archive, restore data and implement Teradata protection features ? Gain confidence in running a wide variety of Data analytics and develop applications for the Teradata environment In Detail Teradata is an enterprise software company that develops and sells its eponymous relational database management system (RDBMS), which is considered to be a leading data warehousing solutions and provides data management solutions for analytics. This book will help you get all the practical information you need for the creation and implementation of your data warehousing solution using Teradata. The book begins with recipes on quickly setting up a development environment so you can work with different types of data structuring and manipulation function. You will tackle all problems related to efficient querying, stored procedure searching, and navigation techniques. Additionally, you’ll master various administrative tasks such as user and security management, workload management, high availability, performance tuning, and monitoring. This book is designed to take you through the best practices of performing the real daily tasks of a Teradata DBA, and will help you tackle any problem you might encounter in the process. Style and approach This book is a rich collection of recipes that will come in handy when you are working with Teradata. It addresses your common and not-so-common pain points,and this is a book that you must have on the shelf.

Accelerate your enterprise search engine and bring relevancy in your search analytics About This Book ? A practical guide in building expertise with Indexing, Faceting, Clustering and Pagination ? Master the management and administration of Enterprise Search Applications and services seamlessly ? Handle multiple data inputs such as JSON, xml, pdf, doc, xls,ppt, csv and much more. Who This Book Is For The book would rightly appeal to developers, software engineers, data engineers and database architects who are building or seeking to build enterprise-wide effective search engines for business intelligence. Prior experience of Apache Solr or Java programming is must to take the best of this book. What You Will Learn ? Design schema using schema API to access data in the database ? Advance querying and fine-tuning techniques for better performance ? Get to grips with indexing using Client API ? Set up a fault tolerant and highly available server with newer distributed capabilities, SolrCloud ? Explore Apache Tika to upload data with Solr Cell ? Understand different data operations that can be done while indexing ? Master advanced querying through Velocity Search UI, faceting and Query Re-ranking, pagination and spatial search ? Learn to use JavaScript, Python, SolrJ and Ruby for interacting with Solr In Detail Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites. To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs. By the end of this book, you will gain advanced proficiency to build out-of-box smart search solutions for your enterprise demands. Style and approach An advance guide which will take you through complex problems with solutions along with varied approaches to tackle your business needs by using Apache solr 7.x

Build responsive, dynamic, and mobile-first applications on the web with Bootstrap 4 About This Book ? Master the art of creating highly intuitive and responsive web interfaces with Bootstrap 4 ? Combine the power of Bootstrap and popular front-end JavaScript frameworks such as Angular and React to build cutting-edge web apps ? Infuse your web pages with life and movement using Bootstrap jQuery plugins Who This Book Is For This book targets readers who wish to leverage Bootstrap 4 to create responsive web applications. Basic knowledge of web development concepts and web technologies such as HTML, CSS, and JavaScript is required. What You Will Learn ? Create a professional Bootstrap-based website from scratch without using third-party templates ? Leverage Bootstrap's powerful grid system ? Style various types of content and learn how to build a page's layout from scratch by applying the power of Bootstrap 4 ? Take advantage of Bootstrap's form helper and contextual classes ? Improve your website's overall user experience with headers and footers ? Infuse your web pages using Bootstrap jQuery plugins and create your own Bootstrap plugins ? Learn what utility classes Bootstrap 4 has to offer, how they are implemented, and the best way to use them. ? Create more advanced web interfaces by leveraging the power of accordions, dropdowns, and list groups. ? Incorporate Bootstrap into an AngularJS or React application and use Bootstrap components as AngularJS directives In Detail Bootstrap 4 is a free CSS and JavaScript framework that allows developers to rapidly build responsive web interfaces. This book will help you use and adapt Bootstrap to produce enticing websites that fit your needs. You will build a customized Bootstrap website from scratch, using various approaches to customize the framework with increasing levels of skill. You will get to grips with Bootstrap's key features and quickly discover various ways in which Bootstrap can help you develop web interfaces. Then take a walk through the fundamental features, such as its grid system, global styles, helper classes, and responsive utilities. When you have mastered these, you will discover how to structure page layouts, utilize Bootstrap's various navigation components, use forms, and style different types of content. Among other things, you will also tour the anatomy of a Bootstrap plugin, create your own custom components, and extend Bootstrap using jQuery. You will also understand what utility classes Bootstrap 4 has to offer, and how you can use them effectively to speed up the development of your website. Finally, you will discover how to optimize your website and integrate it with third-party frameworks. By the end of this book, you will have a thorough knowledge of the framework's ins and outs, and will be able to build highly customizable and optimized web interfaces. Style and approach A comprehensive, step-by-step guide to mastering the ins and outs of the Bootstrap framework to produce highly customizable, optimized, and sleek web interfaces.

Learn how to build efficient, secure and robust code in C++ by using data structures and algorithms - the building blocks of C++ About This Book ? Use data structures such as arrays, stacks, trees, lists, and graphs with real-world examples ? Learn the functional and reactive implementations of the traditional data structures ? Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner Who This Book Is For This book is for developers who would like to learn the Data Structures and Algorithms in C++. Basic C++ programming knowledge is expected. What You Will Learn ? Know how to use arrays and lists to get better results in complex scenarios ? Build enhanced applications by using hashtables, dictionaries, and sets ? Implement searching algorithms such as linear search, binary search, jump search, exponential search, and more ? Have a positive impact on the efficiency of applications with tree traversal ? Explore the design used in sorting algorithms like Heap sort, Quick sort, Merge sort and Radix sort ? Implement various common algorithms in string data types ? Find out how to design an algorithm for a specific task using the common algorithm paradigms In Detail C++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer. We begin with an introduction to C++ data structures and algorithms while also covering essential language constructs. Next, we will see how to store data using linked lists, arrays, stacks, and queues. Then, we will learn how to implement different sorting algorithms, such as quick sort and heap sort. Along with these, we will dive into searching algorithms such as linear search, binary search and more. Our next mission will be to attain high performance by implementing algorithms to string datatypes and implementing hash structures in algorithm design. We'll also analyze Brute Force algorithms, Greedy algorithms, and more. By the end of the book, you'll know how to build components that are easy to understand, debug, and use in different applications. Style and approach Readers will be taken through an indispensable list of data structures and algorithms so they can confidently begin coding in C++.

Your one-stop guide to using Python, creating your own hacking tools, and making the most out of resources available for this programming language About This Book ? Comprehensive information on building a web application penetration testing framework using Python ? Master web application penetration testing using the multi-paradigm programming language Python ? Detect vulnerabilities in a system or application by writing your own Python scripts Who This Book Is For This book is for ethical hackers; penetration testers; students preparing for OSCP, OSCE, GPEN, GXPN, and CEH; information security professionals; cybersecurity consultants; system and network security administrators; and programmers who are keen on learning all about penetration testing. What You Will Learn ? Code your own reverse shell (TCP and HTTP) ? Create your own anonymous shell by interacting with Twitter, Google Forms, and SourceForge ? Replicate Metasploit features and build an advanced shell ? Hack passwords using multiple techniques (API hooking, keyloggers, and clipboard hijacking) ? Exfiltrate data from your target ? Add encryption (AES, RSA, and XOR) to your shell to learn how cryptography is being abused by malware ? Discover privilege escalation on Windows with practical examples ? Countermeasures against most attacks In Detail Python is an easy-to-learn and cross-platform programming language that has unlimited third-party libraries. Plenty of open source hacking tools are written in Python, which can be easily integrated within your script. This book is packed with step-by-step instructions and working examples to make you a skilled penetration tester. It is divided into clear bite-sized chunks, so you can learn at your own pace and focus on the areas of most interest to you. This book will teach you how to code a reverse shell and build an anonymous shell. You will also learn how to hack passwords and perform a privilege escalation on Windows with practical examples. You will set up your own virtual hacking environment in VirtualBox, which will help you run multiple operating systems for your testing environment. By the end of this book, you will have learned how to code your own scripts and mastered ethical hacking from scratch. Style and approach This book follows a practical approach that takes a gradual learning curve, building up your knowledge about ethical hacking, right from scratch. The focus is less on theory and more on practical examples through a step-by-step approach.

A complete guide to designing and building fun games with Qt and Qt Quick using associated toolsets About This Book ? A step by step guide to learn Qt by building simple yet entertaining games ? Get acquainted with a small yet powerful addition—Qt Gamepad Module, that enables Qt applications to support the use of gamepad hardware ? Understand technologies such as QML, OpenGL, and Qt Creator to design intuitive games Who This Book Is For If you want to create great graphical user interfaces and astonishing games with Qt, this book is ideal for you. No previous knowledge of Qt is required; however knowledge of C++ is mandatory. What You Will Learn ? Install the latest version of Qt on your system ? Understand the basic concepts of every Qt game and application ? Develop 2D object-oriented graphics using Qt Graphics View ? Build multiplayer games or add a chat function to your games with Qt Network module ? Script your game with Qt QML ? Explore the Qt Gamepad module in order to integrate gamepad support in C++ and QML applications ? Program resolution-independent and fluid UIs using QML and Qt Quick ? Control your game flow in line with mobile device sensors ? Test and debug your game easily with Qt Creator and Qt Test In Detail Qt is the leading cross-platform toolkit for all significant desktop, mobile, and embedded platforms and is becoming popular by the day, especially on mobile and embedded devices. It's a powerful tool that perfectly fits the needs of game developers. This book will help you learn the basics of Qt and will equip you with the necessary toolsets to build apps and games. The book begins by how to create an application and prepare a working environment for both desktop and mobile platforms. You will learn how to use built-in Qt widgets and Form Editor to create a GUI application and then learn the basics of creating graphical interfaces and Qt's core concepts. Further, you'll learn to enrich your games by implementing network connectivity and employing scripting. You will learn about Qt's capabilities for handling strings and files, data storage, and serialization. Moving on, you will learn about the new Qt Gamepad module and how to add it in your game and then delve into OpenGL and Vulcan, and how it can be used in Qt applications to implement hardware-accelerated 2D and 3D graphics. You will then explore various facets of Qt Quick: how it can be used in games to add game logic, add game physics, and build astonishing UIs for your games. By the end of this book, you will have developed the skillset to develop interesting games with Qt. Style and approach Learn Qt with the help of numerous sample games, introduced step-by-step in each chapter

React 16 Tooling covers the most important tools, utilities, and libraries that every React developer needs to know - in detail. About This Book ? Each chapter presents meta-development solutions to help React developers ? The tools used are presented in a practical, solution-oriented approach with no fluff ? The chapters are arranged in a logical order that mirrors a typical React development workflow, but you are free to tweak the approaches discussed to fit your own unique style Who This Book Is For This book is for React developers of any skill level who want to make their lives easier. It helps to have some familiarity with React, but if you are an experienced web developer looking at React, then this book will show you how to build a resilient toolset around you before you begin. What You Will Learn ? Bootstrap a React application using create-react-app ? Isolate React component development using Storybook ? Write effective unit tests for your React components using Jest ? Ensure that your component code is to standard using ESLint ? Use browser extensions and built-in component instrumentation to debug React applications ? Enable type safety in React components with Flowtype ? Deploy React applications inside a Docker container as part of a larger application stack In Detail React 16 Tooling covers the most important tools, utilities, and libraries that every React developer needs to know - in detail. As React has grown, the amazing toolset around it has also grown, adding features and enhancing the development workflow. Each of these essential tools is presented in a practical manner and in a logical order mirroring the development workflow. These tools will make your development life simpler and happier, enabling you to create better and more performant apps. Adam starts with a hand-picked selection of the best tools for the React 16 ecosystem. For starters, there's the create-react-app utility that's officially supported by the React team. Not only does this tool bootstrap your React project for you, it also provides a consistent and stable framework to build upon. The premise is that when you don't have to think about meta development work, more focus goes into the product itself. Other React tools follow this same approach to automating and improving your development life. Jest makes unit testing quicker. Flow makes catching errors easier. Docker containers make deployment in a stack simpler. Storybook makes developing components straightforward. ESLint makes writing standardized code faster. The React DevTools plugin makes debugging a cinch. React 16 Tooling clears away the barriers so you can focus on developing the good parts. In this book, we'll look at each of these powerful tools in detail, showing you how to build the perfect React ecosystem to develop your apps within. Style and approach This book covers React tools that help developers with the most relevant challenges they face today. Each chapter begins by defining the challenge faced by developers and why the tool is required, then shows how to fix the problem using React tooling.

Leverage the power of Matplotlib to visualize and understand your data more effectively About This Book ? Perform effective data visualization with Matplotlib and get actionable insights from your data ? Design attractive graphs, charts, and 2D plots, and deploy them to the web ? Get the most out of Matplotlib in this practical guide with updated code and examples Who This Book Is For This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you’re a data scientist or analyst and wish to create attractive visualizations using Python, you’ll find this book useful. Some knowledge of Python programming is all you need to get started. What You Will Learn ? Create 2D and 3D static plots such as bar charts, heat maps, and scatter plots ? Get acquainted with GTK+3, Qt5, and wxWidgets to understand the UI backend of Matplotlib ? Develop advanced static plots with third-party packages such as Pandas, GeoPandas, and Seaborn ? Create interactive plots with real-time updates ? Develop web-based, Matplotlib-powered graph visualizations with third-party packages such as Django ? Write data visualization code that is readily expandable on the cloud platform In Detail Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples. By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations. Style and approach Step by step approach to learning the best of Matplotlib 2.1.x

Automate data and model pipelines for faster machine learning applications About This Book ? Build automated modules for different machine learning components ? Understand each component of a machine learning pipeline in depth ? Learn to use different open source AutoML and feature engineering platforms Who This Book Is For If you’re a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you. You’ll also find this book useful if you’re an ML engineer or data professional interested in developing quick machine learning pipelines for your projects. Prior exposure to Python programming will help you get the best out of this book. What You Will Learn ? Understand the fundamentals of Automated Machine Learning systems ? Explore auto-sklearn and MLBox for AutoML tasks ? Automate your preprocessing methods along with feature transformation ? Enhance feature selection and generation using the Python stack ? Assemble individual components of ML into a complete AutoML framework ? Demystify hyperparameter tuning to optimize your ML models ? Dive into Machine Learning concepts such as neural networks and autoencoders ? Understand the information costs and trade-offs associated with AutoML In Detail AutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners’ work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible. In this book, you’ll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more. In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning. By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you’ll be able to incorporate automation tasks using practical datasets. You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions. Style and approach Step by step approach to understand how to automate your machine learning tasks

Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle About This Book ? Create and share interactive documents with live code, text and visualizations ? Integrate popular programming languages such as Python, R, Julia, Scala with Jupyter ? Develop your widgets and interactive dashboards with these innovative recipes Who This Book Is For This cookbook is for data science professionals, developers, technical data analysts, and programmers who want to execute technical coding, visualize output, and do scientific computing in one tool. Prior understanding of data science concepts will be helpful, but not mandatory, to use this book. What You Will Learn ? Install Jupyter and configure engines for Python, R, Scala and more ? Access and retrieve data on Jupyter Notebooks ? Create interactive visualizations and dashboards for different scenarios ? Convert and share your dynamic codes using HTML, JavaScript, Docker, and more ? Create custom user data interactions using various Jupyter widgets ? Manage user authentication and file permissions ? Interact with Big Data to perform numerical computing and statistical modeling ? Get familiar with Jupyter's next-gen user interface - JupyterLab In Detail Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share, scientific applications. The book starts with recipes on installing and running the Jupyter Notebook system on various platforms and configuring the various packages that can be used with it. You will then see how you can implement different programming languages and frameworks, such as Python, R, Julia, JavaScript, Scala, and Spark on your Jupyter Notebook. This book contains intuitive recipes on building interactive widgets to manipulate and visualize data in real time, sharing your code, creating a multi-user environment, and organizing your notebook. You will then get hands-on experience with Jupyter Labs, microservices, and deploying them on the web. By the end of this book, you will have taken your knowledge of Jupyter to the next level to perform all key tasks associated with it. Style and approach The recipes in this book are highly practical and very easy to follow, and include tips and tricks that will help you crack any problem that you might come across while getting the most out of your Jupyter notebook.

Exploit the features of TypeScript to easily create your very own web applications About This Book ? Develop modular, scalable, maintainable, and adaptable web applications by taking advantage of TypeScript ? Walk through the fundamentals of TypeScript with the help of practical examples ? Enhance your web development skills using TypeScript 2.x Who This Book Is For If you are a developer aiming to learn TypeScript to build attractive web applications, this book is for you. No prior knowledge of TypeScript is required. However, a basic understanding of JavaScript would be an added advantage. What You Will Learn ? Understand TypeScript in depth, including its runtime and advanced type system features ? Master the core principles of the object-oriented programming and functional programming paradigms with TypeScript ? Save time using automation tools such as Gulp, Webpack, ts-node, and npm scripts ? Develop robust, modular, scalable, maintainable, and adaptable applications with testing frameworks such as Mocha, Chai, and Sinon.JS ? Put your TypeScript skills to practice by developing full-stack web applications with Node.js, React and Angular ? Use the APIs of the TypeScript compiler to build custom code analysis tool In Detail TypeScript is an open source and cross-platform statically typed superset of JavaScript that compiles to plain JavaScript and runs in any browser or host. This book is a step-by-step guide that will take you through the use and benefits of TypeScript with the help of practical examples. You will start off by understanding the basics as well as the new features of TypeScript 2.x. Then, you will learn how to work with functions and asynchronous programming APIs. You will continue by learning how to resolve runtime issues and how to implement TypeScript applications using the Object-oriented programming (OOP) and functional programming (FP) paradigms. Later, you will automate your development workflow with the help of tools such as Webpack. Towards the end of this book, you will delve into some real-world scenarios by implementing some full-stack TypeScript applications with Node.js, React and Angular as well as how to optimize and test them. Finally, you will be introduced to the internal APIs of the TypeScript compiler, and you will learn how to create custom code analysis tools. Style and approach This is a step-by-step guide that covers the fundamentals of TypeScript with practical examples.

Improve information security by learning Social Engineering. About This Book ? Learn to implement information security using social engineering ? Get hands-on experience of using different tools such as Kali Linux, the Social Engineering toolkit and so on ? Practical approach towards learning social engineering, for IT security Who This Book Is For This book targets security professionals, security analysts, penetration testers, or any stakeholder working with information security who wants to learn how to use social engineering techniques. Prior knowledge of Kali Linux is an added advantage What You Will Learn ? Learn to implement information security using social engineering ? Learn social engineering for IT security ? Understand the role of social media in social engineering ? Get acquainted with Practical Human hacking skills ? Learn to think like a social engineer ? Learn to beat a social engineer In Detail This book will provide you with a holistic understanding of social engineering. It will help you to avoid and combat social engineering attacks by giving you a detailed insight into how a social engineer operates. Learn Social Engineering starts by giving you a grounding in the different types of social engineering attacks,and the damages they cause. It then sets up the lab environment to use different toolS and then perform social engineering steps such as information gathering. The book covers topics from baiting, phishing, and spear phishing, to pretexting and scareware. By the end of the book, you will be in a position to protect yourself and your systems from social engineering threats and attacks. All in all, the book covers social engineering from A to Z , along with excerpts from many world wide known security experts. Style and approach A step-by-step practical guide that will get you well acquainted with Social Engineering. You’ll be able to get started with it in a matter of minutes with the help of different tools such as the Social Engineering toolkit , Kali Linux and so on.

Become familiar with ICND1 (100-105) exam objectives, and learn how to get ready for the exam About This Book ? A step by step guide that will build you skills from basic concepts to completely understanding network communication ? Comprehensive coverage to help you implement the knowledge you've gained in real-world scenarios ? Take practice questions and mock tests to check how prepared you are for the CCENT exam Who This Book Is For If you are a Network Administrator, Network Technician, Networking professional, or would simply like to prepare for your CCENT certification, then this book is for you. Some basic understanding of networks and how they work would be helpful. Sufficient information will be provided to those new to this field. What You Will Learn ? Get to grips with the computer network concepts ? Understand computer network components and learn to create a computer network ? Understand switching and learn how to configure a switch ? Understand routing and learn how to configure a router ? Understand network services and the maintenance process ? Learn how to troubleshoot networking issues ? Become familiar with, and learn how to prepare for, the ICND1 100-105 exam In Detail CCENT is the entry-level certification for those looking to venture into the networking world. This guide will help you stay up-to date with your networking skills. This book starts with the basics and will take you through everything essential to pass the certification exam. It extensively covers IPv4 and IPv6 addressing, IP data networks, switching and routing, network security, and much more—all in some detail. This guide will provide real-world examples with a bunch of hands-on labs to give you immense expertise in important networking tasks, with a practical approach. Each chapter consists of practice questions to help you take up a challenge from what you have procured. This book ends with mock tests with several examples to help you confidently pass the certification. This Certification Guide consists of everything you need to know in order to pass the ICND 1 100-105 Exam, thus obtaining a CCENT certification. However, practicing with real switches and routers or a switch or router simulator will help you succeed. Style and approach This book is for everyone! It will help beginners who are taking their first steps into the world of computer networks. At the same time, this book can be used by intermediate and advanced network administrators to recap computer network concepts. It will be a handy certification guide for anyone who is studying and preparing to take the Interconnecting Cisco Networking Devices Part 1 (100-105) exam, thus obtaining CCENT certification, which will be a handy professional asset.

A developer's field-guide to designing scalable services using Kubernetes About This Book ? Develop and run your software using containers within a Kubernetes environment ? Get hands-on experience of using Kubernetes with DevOps concepts such as continuous integration, benchmark testing, monitoring, and so on ? Pragmatic example-based approach showing how to use Kubernetes in the development process Who This Book Is For If you are a full-stack or back-end software developers interested, curious, or being asked to test as well as run the code you're creating, you can leverage Kubernetes to make that process simpler and consistent regardless of where you deploy. If you're looking for developer focused examples in NodeJS and Python for how to build, test, deploy, and run your code with Kubernetes, this is perfect for you. What You Will Learn ? Build your software into containers ? Deploy and debug software running in containers within Kubernetes ? Declare and add configuration through Kubernetes ? Define how your application fits together, using internal and external services ? Add feedback to your code to help Kubernetes manage your services ? Monitor and measure your services through integration testing and in production deployments In Detail Kubernetes is documented and typically approached from the perspective of someone running software that has already been built. Kubernetes may also be used to enhance the development process, enabling more consistent testing and analysis of code to help developers verify not only its correctness, but also its efficiency. This book introduces key Kubernetes concepts, coupled with examples of how to deploy and use them with a bit of Node.js and Python example code, so that you can quickly replicate and use that knowledge. You will begin by setting up Kubernetes to help you develop and package your code. We walk you through the setup and installation process before working with Kubernetes in the development environment. We then delve into concepts such as automating your build process, autonomic computing, debugging, and integration testing. This book covers all the concepts required for a developer to work with Kubernetes. By the end of this book, you will be in a position to use Kubernetes in development ecosystems. Style and approach This book will cover examples using NodeJS and Python that walk you through building containers, defining your deployments, deploying, debugging, testing, and generally interacting with your code running on Kubernetes. The examples are focused on common development needs, and include pragmatic advice and the explanations behind that advice.

A complete guide on using data structures and algorithms to write sophisticated C# code About This Book ? Master array, set and map with trees and graphs, among other fundamental data structures ? Delve into effective design and implementation techniques to meet your software requirements ? Explore illustrations to present data structures and algorithms, as well as their analysis in a clear, visual manner. Who This Book Is For This book is for developers who would like to learn the Data Structures and Algorithms in C#. Basic C# programming knowledge would be an added advantage. What You Will Learn ? How to use arrays and lists to get better results in complex scenarios ? Implement algorithms like the Tower of Hanoi on stacks of C# objects ? Build enhanced applications by using hashtables, dictionaries and sets ? Make a positive impact on efficiency of applications with tree traversal ? Effectively find the shortest path in the graph In Detail Data structures allow organizing data efficiently. They are critical to various problems and their suitable implementation can provide a complete solution that acts like reusable code. In this book, you will learn how to use various data structures while developing in the C# language as well as how to implement some of the most common algorithms used with such data structures. At the beginning, you will get to know arrays, lists, dictionaries, and sets together with real-world examples of your application. Then, you will learn how to create and use stacks and queues. In the following part of the book, the more complex data structures will be introduced, namely trees and graphs, together with some algorithms for searching the shortest path in a graph. We will also discuss how to organize the code in a manageable, consistent, and extendable way. By the end of the book,you will learn how to build components that are easy to understand, debug, and use in different applications. Style and approach Readers will be taken through all the indispensable data structures and algorithms so they can begin their coding journey in C#. At each step, the book will show how to implement these via examples while also discussing the attributes of each algorithm so readers are capable to make an informed choice.

Leverage the power of the Reinforcement Learning techniques to develop self-learning systems using Tensorflow About This Book ? Learn reinforcement learning concepts and their implementation using TensorFlow ? Discover different problem-solving methods for Reinforcement Learning ? Apply reinforcement learning for autonomous driving cars, robobrokers, and more Who This Book Is For If you want to get started with reinforcement learning using TensorFlow in the most practical way, this book will be a useful resource. The book assumes prior knowledge of machine learning and neural network programming concepts, as well as some understanding of the TensorFlow framework. No previous experience with Reinforcement Learning is required. What You Will Learn ? Implement state-of-the-art Reinforcement Learning algorithms from the basics ? Discover various techniques of Reinforcement Learning such as MDP, Q Learning and more ? Learn the applications of Reinforcement Learning in advertisement, image processing, and NLP ? Teach a Reinforcement Learning model to play a game using TensorFlow and the OpenAI gym ? Understand how Reinforcement Learning Applications are used in robotics In Detail Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effective method to train your learning agents and solve a variety of problems in Artificial Intelligence—from games, self-driving cars and robots to enterprise applications that range from datacenter energy saving (cooling data centers) to smart warehousing solutions. The book covers the major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. The book also introduces readers to the concept of Reinforcement Learning, its advantages and why it’s gaining so much popularity. The book also discusses on MDPs, Monte Carlo tree searches, dynamic programming such as policy and value iteration, temporal difference learning such as Q-learning and SARSA. You will use TensorFlow and OpenAI Gym to build simple neural network models that learn from their own actions. You will also see how reinforcement learning algorithms play a role in games, image processing and NLP. By the end of this book, you will have a firm understanding of what reinforcement learning is and how to put your knowledge to practical use by leveraging the power of TensorFlow and OpenAI Gym. Style and approach An Easy-to-follow, step-by-step guide to help you get to grips with real-world applications of Reinforcement Learning with TensorFlow.